7 citations · 12 across the 11 of their papers we have counts for
13 papers
Aggregate accuracy conceals concentrated temporal vulnerability in a spiking speech classifier
İsmail Can Dikmen
Aggregate accuracy cannot reveal which utterances are locally vulnerable or how internal activity changes when labels remain stable. We retain every prediction for 725,070 adjacent…
nBMS, a Neuromorphic Battery Management System with a Silicon-Validated Spiking State-of-Charge Core for eVTOL Aircraft
İsmail Can Dikmen
State-of-charge (SoC) estimation for electric vertical take-off and landing (eVTOL) aircraft must run on the vehicle under hard energy and certification budgets, on a duty cycle un…
A Reconfigurable Framework for AI-FPGA Agent Integration and Acceleration
Aybars Yunusoglu, Talha Coskun, Hiruna Vishwamith +2
Artificial intelligence (AI) is increasingly deployed in real-time and energy-constrained environments, driving demand for hardware platforms that can deliver high performance and…
Neuromorphic Circuits with Spiking Astrocytes for Increased Energy Efficiency, Fault Tolerance, and Memory Capacitance
Aybars Yunusoglu, Dexter Le, Murat Isik +2
In the rapidly advancing field of neuromorphic computing, integrating biologically-inspired models like the Leaky Integrate-and-Fire Astrocyte (LIFA) into spiking neural networks (…
A Review of Memory Wall for Neuromorphic Computing
Dexter Le, Baran Arig, Murat Isik +2
This paper reviews memory technologies used in Field-Programmable Gate Arrays (FPGAs) for neuromorphic computing, a brain-inspired approach transforming artificial intelligence wit…
Battery State of Health Estimation Using LLM Framework
Aybars Yunusoglu, Dexter Le, Karn Tiwari +2
Battery health monitoring is critical for the efficient and reliable operation of electric vehicles (EVs). This study introduces a transformer-based framework for estimating the St…
HPCNeuroNet: A Neuromorphic Approach Merging SNN Temporal Dynamics with Transformer Attention for FPGA-based Particle Physics
Murat Isik, Hiruna Vishwamith, Jonathan Naoukin +1
This paper presents the innovative HPCNeuroNet model, a pioneering fusion of Spiking Neural Networks (SNNs), Transformers, and high-performance computing tailored for particle phys…
Multimodal LLM for Intelligent Transportation Systems
Dexter Le, Aybars Yunusoglu, Karn Tiwari +2
In the evolving landscape of transportation systems, integrating Large Language Models (LLMs) offers a promising frontier for advancing intelligent decision-making across various a…
NeuroVM: Dynamic Neuromorphic Hardware Virtualization
Murat Isik, Jonathan Naoukin, I. Can Dikmen
This paper introduces a novel approach in neuromorphic computing, integrating heterogeneous hardware nodes into a unified, massively parallel architecture. Our system transcends tr…
Accelerating Sensor Fusion in Neuromorphic Computing: A Case Study on Loihi-2
Murat Isik, Karn Tiwari, Muhammed Burak Eryilmaz +1
In our study, we utilized Intel's Loihi-2 neuromorphic chip to enhance sensor fusion in fields like robotics and autonomous systems, focusing on datasets such as AIODrive, Oxford R…
Exploring Liquid Neural Networks on Loihi-2
Wiktoria Agata Pawlak, Murat Isik, Dexter Le +1
This study investigates the realm of liquid neural networks (LNNs) and their deployment on neuromorphic hardware platforms. It provides an in-depth analysis of Liquid State Machine…
NEUROSEC: FPGA-Based Neuromorphic Audio Security
Murat Isik, Hiruna Vishwamith, Yusuf Sur +2
Neuromorphic systems, inspired by the complexity and functionality of the human brain, have gained interest in academic and industrial attention due to their unparalleled potential…
HPCNeuroNet: Advancing Neuromorphic Audio Signal Processing with Transformer-Enhanced Spiking Neural Networks
Murat Isik, Hiruna Vishwamith, Kayode Inadagbo +1
This paper presents a novel approach to neuromorphic audio processing by integrating the strengths of Spiking Neural Networks (SNNs), Transformers, and high-performance computing (…